Brain-Computer Interfaces: Lab Experiments to Real-World by Damien Coyle PDF

By Damien Coyle

ISBN-10: 0128042168

ISBN-13: 9780128042168

ISBN-10: 0128092629

ISBN-13: 9780128092620

Brain-Computer Interfaces: Lab Experiments to Real-World Applications, the newest quantity within the Progress in mind study series, specializes in new tendencies and advancements. This demonstrated overseas sequence examines significant parts of simple and scientific study in the neurosciences, in addition to renowned and rising subfields.

  • Explores new traits and advancements in mind study
  • Enhances the literature of neuroscience by means of additional increasing this proven, ongoing foreign sequence
  • Examines significant components of easy and medical study in the field

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Extra resources for Brain-Computer Interfaces: Lab Experiments to Real-World Applications

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2 Methods sessions mutual adaptation between brain and machine may occur which lead to an improved performance (Pfurtscheller and Neuper, 2001). Whenever a person performs an action—like grasping a glass of water—an immediate reaction (feedback) to the action is perceived: haptic information of the touch of the glass and its weight, and visual information regarding reaching and grasping coordination. This feedback becomes even more essential when it comes to learning new processes, eg, learning to control a BCI-driven neuroprosthesis.

2009. Practicing fast-decision BCI using a “goalkeeper” paradigm. BMC Neurosci. 10 (1), P69. , 2012. Not all created equal: individual-technology fit of brain–computer interfaces. In: 45th Hawaii International Conference on System Science HICSS, pp. 572–578. , 2010. Individual characteristics and their effect on predicting Mu rhythm modulation. Int. J. Hum. Comput. Interact. 27 (1), 24–37. , 2015. How kinesthetic motor imagery works: a predictiveprocessing theory of visualization in sports and motor expertise.

Mental training has been used to improve performances in many domains such as sports, surgical performances, and music. However, very few studies have focused on BCI practice. Erfanian and Mahmoudi (2013) have investigated the role of mental practice and concentration on a natural EEG-based BCI for hand grasp control. The imagery task used was the imagination of hand grasping and opening. For imagery training, the authors used a video-based method where subjects watched themselves performing hand-closing and -opening while undertaking imagery.

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Brain-Computer Interfaces: Lab Experiments to Real-World Applications by Damien Coyle


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